Instructions to use hf-tiny-model-private/tiny-random-MobileViTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MobileViTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-tiny-model-private/tiny-random-MobileViTModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-MobileViTModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-MobileViTModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 281b7429cea72ab87d3993bdad5d13e4af2b945a83ef518ef629ca52186d7c63
- Size of remote file:
- 19.8 MB
- SHA256:
- 987523ec4eef09b630e638d27a1c7df21ffe8e1ef2bf23fe0c934fd645368d74
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